Triple

T23096421
Position Surface form Disambiguated ID Type / Status
Subject Puente de la Barca (El Puerto de Santa María) E575901 entity
Predicate watercourseRegion P69640 FINISHED
Object Guadalete River basin NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guadalete River basin | Statement: [Puente de la Barca (El Puerto de Santa María), watercourseRegion, Guadalete River basin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: watercourseRegion
Context triple: [Puente de la Barca (El Puerto de Santa María), watercourseRegion, Guadalete River basin]
  • A. watercourseThroughRegion chosen
    Indicates that a watercourse (such as a river or stream) passes through or traverses a specified region.
  • B. waterSourceRegion
    Indicates that a specified region serves as the geographic source or origin area of a particular body or supply of water.
  • C. watercourseFeature
    Indicates that a feature is a physical characteristic or component associated with a watercourse (such as a river, stream, or canal).
  • D. watercourseFor
    Indicates that one entity serves as the watercourse (such as a river or channel) associated with, carrying, or draining another entity.
  • E. watercourseIDCountry
    Indicates that a specific watercourse is associated with, located in, or flows through a particular country.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de522e48190a37e6c2fda2de465 completed April 29, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:57 p.m.